Poster: Answering the Requirements Traceability Questions

被引：4

作者：

Gupta, Arushi ^{[1
]}

Wang, Wentao ^{[1
]}

Niu, Nan ^{[1
]}

Savolainen, Juha ^{[2
]}

机构：

[1] Univ Cincinnati, Dept EECS, Cincinnati, OH 45220 USA

[2] Danfoss Drives AS, Software & Control R&D, Grasten, Denmark

来源：

PROCEEDINGS 2018 IEEE/ACM 40TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING - COMPANION (ICSE-COMPANION | 2018年

基金：

美国国家科学基金会;

关键词：

Traceability; requirements questions; answering status; THEORETICAL REPLICATION;

D O I：

10.1145/3183440.3195049

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

To understand requirements traceability in practice, we present a preliminary study of identifying questions from requirements repositories and examining their answering status. Investigating four open-source projects results in 733 requirements questions, among which 43% were answered successfully, 35% were answered unsuccessfully, and 22% were not answered at all. We evaluate the accuracy of using a state-of-the-art natural language processing tool to identify the requirements questions and illuminate automated ways to classify their answering status.

引用

页码：444 / 445

页数：2

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